A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network

Authors: Familiar, Ariana M., Kazerooni, Anahita Fathi, Anderson, Hannah, Lubneuski, Aliaksandr, Viswanathan, Karthik, Breslow, Rocky, Khalili, Nastaran, Bagheri, Sina, Haldar, Debanjan, Kim, Meen Chul, Arif, Sherjeel, Madhogarhia, Rachel, Nguyen, Thinh Q., Frenkel, Elizabeth A., Helili, Zeinab, Harrison, Jessica, Farahani, Keyvan, Linguraru, Marius George, Bagci, Ulas, Velichko, Yury, Stevens, Jeffrey, Leary, Sarah, Lober, Robert M., Campion, Stephani, Smith, Amy A., Morinigo, Denise, Rood, Brian, Diamond, Kimberly, Pollack, Ian F., Williams, Melissa, Vossough, Arastoo, Ware, Jeffrey B., Mueller, Sabine, Storm, Phillip B., Heath, Allison P., Waanders, Angela J., Lilly, Jena V., Mason, Jennifer L., Resnick, Adam C., Nabavizadeh, Ali

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2310.01413

Unsupervised machine learning using K-means identifies radiomic subgroups of pediatric low-grade gliomas that correlate with key molecular markers

Authors: Haldar, Debanjan, Kazerooni, Anahita Fathi, Arif, Sherjeel, Familiar, Ariana, Madhogarhia, Rachel, Khalili, Nastaran, Bagheri, Sina, Anderson, Hannah, Shaikh, Ibraheem Salman, Mahtabfar, Aria, Kim, Meen Chul, Tu, Wenxin, Ware, Jefferey, Vossough, Arastoo, Davatzikos, Christos, Storm, Phillip B., Resnick, Adam, Nabavizadeh, Ali

Source: In Neoplasia February 2023 36

Automated tumor segmentation and brain tissue extraction from multiparametric MRI of pediatric brain tumors: A multi-institutional study.

Authors: Kazerooni, Anahita Fathi, Arif, Sherjeel, Madhogarhia, Rachel, Khalili, Nastaran, Haldar, Debanjan, Bagheri, Sina, Familiar, Ariana M, Anderson, Hannah, Haldar, Shuvanjan, Tu, Wenxin, Kim, Meen Chul, Viswanathan, Karthik, Muller, Sabine, Prados, Michael, Kline, Cassie, Vidal, Lorenna, Aboian, Mariam, Storm, Phillip B, Resnick, Adam C, Ware, Jeffrey B

Source: Neuro-Oncology Advances; 2023, Vol. 5 Issue 1, p1-12, 12p

Radiomics and radiogenomics in pediatric neuro-oncology: A review.

Authors: Madhogarhia, Rachel, Haldar, Debanjan, Bagheri, Sina, Familiar, Ariana, Anderson, Hannah, Arif, Sherjeel, Vossough, Arastoo, Storm, Phillip, Resnick, Adam, Davatzikos, Christos, Kazerooni, Anahita Fathi, Nabavizadeh, Ali

Source: Neuro-Oncology Advances; Jan-Dec2022, Vol. 4 Issue 1, p1-15, 15p

Automated segmentation of pediatric brain tumors based on multi-parametric MRI and deep learning

Authors: Drukker, Karen, Iftekharuddin, Khan M., Lu, Hongbing, Mazurowski, Maciej A., Muramatsu, Chisako, Samala, Ravi K., Madhogarhia, Rachel, Fathi Kazerooni, Anahita, Arif, Sherjeel, Ware, Jeffrey B., Familiar, Ariana M., Vidal, Lorenna, Bagheri, Sina, Anderson, Hannah, Haldar, Debanjan, Yagoda, Sophie, Graves, Erin, Spadola, Michael, Yan, Rachel, Dahmane, Nadia, Sako, Chiharu, Vossough, Arastoo, Storm, Phillip, Resnick, Adam, Davatzikos, Christos, Nabavizadeh, Ali

Source: Proceedings of SPIE; April 2022, Vol. 12033 Issue: 1 p120332R-120332R-9, 1082998p

Automated segmentation of pediatric brain tumors based on multi-parametric MRI and deep learning.

Authors: Madhogarhia, Rachel, Fathi Kazerooni, Anahita, Arif, Sherjeel, Ware, Jeffrey B., Familiar, Ariana M., Vidal, Lorenna, Bagheri, Sina, Anderson, Hannah, Haldar, Debanjan, Yagoda, Sophie, Graves, Erin, Spadola, Michael, Yan, Rachel, Dahmane, Nadia, Sako, Chiharu, Vossough, Arastoo, Storm, Phillip, Resnick, Adam, Davatzikos, Christos, Nabavizadeh, Ali

Source: Proceedings of SPIE; 12/31/2021, Vol. 12033, p120332R-120332R-9, 1p